- Data Manipulation
- Scatter Plots
- Scientific Visualization
- NumPy
- Histogram
- Data Presentation
- Pandas (Python Package)
- Graphing
- Statistical Visualization
- Matplotlib
- Interactive Data Visualization
- Visualization (Computer Graphics)
Applied Plotting, Charting & Data Representation in Python
Completed by Qianjia Jiang
September 21, 2020
24 hours (approximately)
Qianjia Jiang's account is verified. Coursera certifies their successful completion of Applied Plotting, Charting & Data Representation in Python
What you will learn
Describe what makes a good or bad visualization
Understand best practices for creating basic charts
Identify the functions that are best for particular problems
Create a visualization using matplotlb
Skills you will gain
